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大型语言模型 (LLM) 在提供前列腺癌信息方面的性能

Ahmed Alasker^1,2,3, Seham Alsalamah^4,5, Nada Alshathri^2,3

¹Division of Urology, Department of Surgery, Ministry of National Guard - Health Affairs, Riyadh, Saudi Arabia.

|August 23, 2024

概括

像ChatGPT和Bard这样的大型语言模型 (LLM) 可以提供准确的前列腺癌 (PCa) 信息. 这些人工智能工具提供了可访问的患者教育,补充了医疗保健专业人员.

科学领域:

医疗信息学医疗信息学
医疗保健中的人工智能
在瘤学瘤学.

背景情况:

前列腺癌 (PCa) 是影响男性的复杂全球健康问题.
患者经常寻求关于PCa诊断和管理的补充信息.
包括ChatGPT和Google Bard在内的AI聊天机器人正在成为患者资源.

研究的目的:

评估大型语言模型 (LLM) 在提供前列腺癌 (PCa) 教育方面的表现.
评估LLM生成的内容的准确性,全面性和可读性.

主要方法:

从可信赖的来源收集了52个关于PCa的常见患者问题.
通过准确性 (3点级) 和全面性 (5点级利克尔特) 的指标评估了LLM的答案.
通过Flesch阅读方便 (FRE) 和Flesch-Kincaid (FK) 等级水平评估可读性.

主要成果:

对于PCa信息的整体LLM准确性没有显著差异.
在一般PCa知识方面,ChatGPT-3.5显示出优越性 (p=0.018).
聊天GPT-4提供了更大的全面性 (p=0.028),而巴德在可读性方面表现出色 (FRE 54.7,FK 10.2).

结论:

聊天GPT-3.5,聊天GPT-4,和巴德提供准确,全面,可读的PCa教育材料.
在瘤学中,LLM可以作为患者教育和指导的宝贵工具.
人工智能聊天机器人可能会增强,但不能取代PCa管理中的医疗保健专业人员.

关键词:

人工智能的人工智能是人工智能.聊天GPT 聊天GPT 的意思聊天机器人聊天机器人大型语言模型.前列腺癌是什么意思前列腺癌是什么意思

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